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Cognitive Radio (CR) is a novel promising approach proposed to ensure efficient spectrum utilization. It is the obvious solution to the spectral congestion problem. Spectrum sensing is the most essential functionality required for the practical implementation of cognitive radio networks. An efficient spectrum sensing method must detect very weak primary user signals while being sufficiently fast and...
In this paper a new spectrum sensing technique for multiple antenna cognitive radio network is proposed. While a large majority of the existing literature assume that the signal is corrupted by additive white Gaussian noise, this assumption is not always true in practice. In the present work, slow Rayleigh fading channel in the presence of impulsive noise is considered and BPSK modulation is employed...
Spectrum sensing design for Cognitive Radio systems is challenged by the nature of the wireless medium, which makes the detection requirements difficult to achieve by standalone sensors. To combat shadowing and fading, distributed strategies are usually proposed. However, most distributed approaches are based on the energy detector, which is not robust to noise uncertainty. This phenomenon can be...
In the context of spectrum sensing, we investigate the performance of detectors equipped with M antennas (co-located or distributed) under Rayleigh fading, in terms of detection diversity. Rather than the high-SNR concept of diversity order common in the communications literature, we adopt the notion recently advocated by Daher and Adve in the radar community: the slope of the average probability...
Cooperative sensing based on energy detection in distributed antenna systems is considered in this letter. We investigate soft combination of the observed energies from different cognitive radio users. Based on the Neyman-Pearson criterion, an optimal soft combination scheme which can maximize the detection probability for the constant false alarm rate is obtained. Closed-form expressions for the...
One of the main requirements of cognitive radio (CR) systems is the ability to perform spectrum sensing in a reliable manner in challenging environments that arise due to propagation channels which undergo multipath fading and non-Gaussian noise. While most existing literature on spectrum sensing has focused on impairments introduced by additive white Gaussian noise (AWGN), this assumption fails to...
The well-known energy detector, due to its simplicity, has been proposed as an efficient spectrum sensing method for cognitive radio networks. However, shadowing and fading degrade performance of energy detector. In this paper, to combat these effects, we exploit multiple antennas for each user and cooperation among users. Moreover, we consider spatial correlation among users as well as among antennas...
In this paper, a new energy detection-based scheme is introduced for spectrum sensing in cognitive radio systems. This employs multiple receive antennas to mitigate the channel fading. Partial decisions are first made by employing the conventional energy detector at each antenna, based on which a final decision on the presence of the signal is reached. Performance of the proposed and conventional...
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